{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 一、前期工作"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "孩子上课老是注意力不集中怎么办，注意力检测程序安排上！司机疲劳驾驶怎么办，注意力检测程序安排上！本文将通过对人眼状态的识别达到检测注意力的目的 ⏳ 新增混淆矩阵模块。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "🔥本文 GitHub [https://github.com/kzbkzb/Python-AI](https://github.com/kzbkzb/Python-AI) 已收录\n",
    "\n",
    "- 作者：[K同学啊](https://mp.weixin.qq.com/s/NES9RhtAhbX_jsmGua28dA)\n",
    "- 来自专栏：《深度学习100例》-Tensorflow2版本\n",
    "- 数据链接：https://pan.baidu.com/s/1ZKFRgCHBmfoEEA2TK6lEDw （提取码：59bw）\n",
    "\n",
    "我的环境：\n",
    "\n",
    "- 语言环境：Python3.6.5\n",
    "- 编译器：[jupyter notebook](https://mtyjkh.blog.csdn.net/article/details/118814364)\n",
    "- 深度学习环境：TensorFlow2.4.1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "🚀 深度学习新人必看：\n",
    "\n",
    "1. [小白入门深度学习 | 第一篇：配置深度学习环境](https://mtyjkh.blog.csdn.net/article/details/118575238)\n",
    "2. [小白入门深度学习 | 第二篇：编译器的使用-Jupyter Notebook](https://mtyjkh.blog.csdn.net/article/details/118814364)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 设置GPU"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "如果使用的是CPU可以注释掉这部分的代码。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]\n"
     ]
    }
   ],
   "source": [
    "import tensorflow as tf\n",
    "\n",
    "gpus = tf.config.list_physical_devices(\"GPU\")\n",
    "\n",
    "if gpus:\n",
    "    tf.config.experimental.set_memory_growth(gpus[0], True)  #设置GPU显存用量按需使用\n",
    "    tf.config.set_visible_devices([gpus[0]],\"GPU\")\n",
    "\n",
    "# 打印显卡信息，确认GPU可用\n",
    "print(gpus)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 导入数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "# 支持中文\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号\n",
    "\n",
    "import os,PIL\n",
    "\n",
    "# 设置随机种子尽可能使结果可以重现\n",
    "import numpy as np\n",
    "np.random.seed(1)\n",
    "\n",
    "# 设置随机种子尽可能使结果可以重现\n",
    "import tensorflow as tf\n",
    "tf.random.set_seed(1)\n",
    "\n",
    "import pathlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_dir = \"D:/jupyter notebook/DL-100-days/datasets/017_Eye_dataset\"\n",
    "\n",
    "data_dir = pathlib.Path(data_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 3. 查看数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "图片总数为： 4307\n"
     ]
    }
   ],
   "source": [
    "image_count = len(list(data_dir.glob('*/*')))\n",
    "\n",
    "print(\"图片总数为：\",image_count)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "# 二、数据预处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. 加载数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "使用`image_dataset_from_directory`方法将磁盘中的数据加载到`tf.data.Dataset`中"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "batch_size = 64\n",
    "img_height = 224\n",
    "img_width = 224"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "TensorFlow版本是2.2.0的同学可能会遇到`module 'tensorflow.keras.preprocessing' has no attribute 'image_dataset_from_directory'`的报错，升级一下TensorFlow就OK了。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 4307 files belonging to 4 classes.\n",
      "Using 3446 files for training.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "关于image_dataset_from_directory()的详细介绍可以参考文章：https://mtyjkh.blog.csdn.net/article/details/117018789\n",
    "\"\"\"\n",
    "train_ds = tf.keras.preprocessing.image_dataset_from_directory(\n",
    "    data_dir,\n",
    "    validation_split=0.2,\n",
    "    subset=\"training\",\n",
    "    seed=12,\n",
    "    image_size=(img_height, img_width),\n",
    "    batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found 4307 files belonging to 4 classes.\n",
      "Using 861 files for validation.\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "关于image_dataset_from_directory()的详细介绍可以参考文章：https://mtyjkh.blog.csdn.net/article/details/117018789\n",
    "\"\"\"\n",
    "val_ds = tf.keras.preprocessing.image_dataset_from_directory(\n",
    "    data_dir,\n",
    "    validation_split=0.2,\n",
    "    subset=\"validation\",\n",
    "    seed=12,\n",
    "    image_size=(img_height, img_width),\n",
    "    batch_size=batch_size)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我们可以通过class_names输出数据集的标签。标签将按字母顺序对应于目录名称。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['close_look', 'forward_look', 'left_look', 'right_look']\n"
     ]
    }
   ],
   "source": [
    "class_names = train_ds.class_names\n",
    "print(class_names)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 可视化数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))  # 图形的宽为10高为5\n",
    "plt.suptitle(\"数据展示\")\n",
    "\n",
    "for images, labels in train_ds.take(1):\n",
    "    for i in range(8):\n",
    "        \n",
    "        ax = plt.subplot(2, 4, i + 1)  \n",
    "        \n",
    "        ax.patch.set_facecolor('yellow')\n",
    "        \n",
    "        plt.imshow(images[i].numpy().astype(\"uint8\"))\n",
    "        plt.title(class_names[labels[i]])\n",
    "        \n",
    "        plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": []
   },
   "source": [
    "## 3. 再次检查数据 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(64, 224, 224, 3)\n",
      "(64,)\n"
     ]
    }
   ],
   "source": [
    "for image_batch, labels_batch in train_ds:\n",
    "    print(image_batch.shape)\n",
    "    print(labels_batch.shape)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- `Image_batch`是形状的张量（8, 224, 224, 3)。这是一批形状240x240x3的8张图片（最后一维指的是彩色通道RGB）。 \n",
    "- `Label_batch`是形状（8，）的张量，这些标签对应8张图片"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 4. 配置数据集"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- **shuffle()** ： 打乱数据，关于此函数的详细介绍可以参考：https://zhuanlan.zhihu.com/p/42417456\n",
    "- **prefetch()** ：预取数据，加速运行，其详细介绍可以参考我前两篇文章，里面都有讲解。\n",
    "- **cache()** ：将数据集缓存到内存当中，加速运行"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "AUTOTUNE = tf.data.AUTOTUNE\n",
    "\n",
    "train_ds = train_ds.cache().shuffle(1000).prefetch(buffer_size=AUTOTUNE)\n",
    "val_ds   = val_ds.cache().prefetch(buffer_size=AUTOTUNE)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 三、调用官方网络模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model: \"vgg16\"\n",
      "_________________________________________________________________\n",
      "Layer (type)                 Output Shape              Param #   \n",
      "=================================================================\n",
      "input_1 (InputLayer)         [(None, 224, 224, 3)]     0         \n",
      "_________________________________________________________________\n",
      "block1_conv1 (Conv2D)        (None, 224, 224, 64)      1792      \n",
      "_________________________________________________________________\n",
      "block1_conv2 (Conv2D)        (None, 224, 224, 64)      36928     \n",
      "_________________________________________________________________\n",
      "block1_pool (MaxPooling2D)   (None, 112, 112, 64)      0         \n",
      "_________________________________________________________________\n",
      "block2_conv1 (Conv2D)        (None, 112, 112, 128)     73856     \n",
      "_________________________________________________________________\n",
      "block2_conv2 (Conv2D)        (None, 112, 112, 128)     147584    \n",
      "_________________________________________________________________\n",
      "block2_pool (MaxPooling2D)   (None, 56, 56, 128)       0         \n",
      "_________________________________________________________________\n",
      "block3_conv1 (Conv2D)        (None, 56, 56, 256)       295168    \n",
      "_________________________________________________________________\n",
      "block3_conv2 (Conv2D)        (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_conv3 (Conv2D)        (None, 56, 56, 256)       590080    \n",
      "_________________________________________________________________\n",
      "block3_pool (MaxPooling2D)   (None, 28, 28, 256)       0         \n",
      "_________________________________________________________________\n",
      "block4_conv1 (Conv2D)        (None, 28, 28, 512)       1180160   \n",
      "_________________________________________________________________\n",
      "block4_conv2 (Conv2D)        (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_conv3 (Conv2D)        (None, 28, 28, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block4_pool (MaxPooling2D)   (None, 14, 14, 512)       0         \n",
      "_________________________________________________________________\n",
      "block5_conv1 (Conv2D)        (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv2 (Conv2D)        (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block5_conv3 (Conv2D)        (None, 14, 14, 512)       2359808   \n",
      "_________________________________________________________________\n",
      "block5_pool (MaxPooling2D)   (None, 7, 7, 512)         0         \n",
      "_________________________________________________________________\n",
      "flatten (Flatten)            (None, 25088)             0         \n",
      "_________________________________________________________________\n",
      "fc1 (Dense)                  (None, 4096)              102764544 \n",
      "_________________________________________________________________\n",
      "fc2 (Dense)                  (None, 4096)              16781312  \n",
      "_________________________________________________________________\n",
      "predictions (Dense)          (None, 1000)              4097000   \n",
      "=================================================================\n",
      "Total params: 138,357,544\n",
      "Trainable params: 138,357,544\n",
      "Non-trainable params: 0\n",
      "_________________________________________________________________\n"
     ]
    }
   ],
   "source": [
    "model = tf.keras.applications.VGG16()\n",
    "# 打印模型信息\n",
    "model.summary()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 四、设置动态学习率"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这里先罗列一下学习率大与学习率小的优缺点。\n",
    "\n",
    "- 学习率大\n",
    "    - 优点：\n",
    "        1、加快学习速率。\n",
    "        2、有助于跳出局部最优值。\n",
    "    - 缺点：\n",
    "        1、导致模型训练不收敛。\n",
    "        2、单单使用大学习率容易导致模型不精确。\n",
    "\n",
    "- 学习率小\n",
    "    - 优点：\n",
    "        1、有助于模型收敛、模型细化。\n",
    "        2、提高模型精度。\n",
    "    - 缺点：\n",
    "        1、很难跳出局部最优值。\n",
    "        2、收敛缓慢。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "注意：这里设置的动态学习率为：指数衰减型（ExponentialDecay）。在每一个epoch开始前，学习率（learning_rate）都将会重置为初始学习率（initial_learning_rate），然后再重新开始衰减。计算公式如下：\n",
    "\n",
    ">learning_rate = initial_learning_rate * decay_rate ^ (step / decay_steps)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置初始学习率\n",
    "initial_learning_rate = 1e-4\n",
    "\n",
    "lr_schedule = tf.keras.optimizers.schedules.ExponentialDecay(\n",
    "        initial_learning_rate, \n",
    "        decay_steps=20,      # 敲黑板！！！这里是指 steps，不是指epochs\n",
    "        decay_rate=0.96,     # lr经过一次衰减就会变成 decay_rate*lr\n",
    "        staircase=True)\n",
    "\n",
    "# 将指数衰减学习率送入优化器\n",
    "optimizer = tf.keras.optimizers.Adam(learning_rate=lr_schedule)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 五、编译"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "在准备对模型进行训练之前，还需要再对其进行一些设置。以下内容是在模型的编译步骤中添加的：\n",
    "\n",
    "- 优化器（optimizer）：决定模型如何根据其看到的数据和自身的损失函数进行更新。\n",
    "- 损失函数（loss）：用于估量预测值与真实值的不一致程度。\n",
    "- 评价函数（metrics）：用于监控训练和测试步骤。以下示例使用了准确率，即被正确分类的图像的比率。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "model.compile(optimizer=optimizer,\n",
    "              loss     ='sparse_categorical_crossentropy',\n",
    "              metrics  =['accuracy'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 六、训练模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/10\n",
      "54/54 [==============================] - 29s 377ms/step - loss: 1.0835 - accuracy: 0.6709 - val_loss: 0.6919 - val_accuracy: 0.7933\n",
      "Epoch 2/10\n",
      "54/54 [==============================] - 14s 268ms/step - loss: 0.2332 - accuracy: 0.9248 - val_loss: 0.1173 - val_accuracy: 0.9628\n",
      "Epoch 3/10\n",
      "54/54 [==============================] - 14s 259ms/step - loss: 0.1072 - accuracy: 0.9634 - val_loss: 0.0771 - val_accuracy: 0.9779\n",
      "Epoch 4/10\n",
      "54/54 [==============================] - 14s 256ms/step - loss: 0.0663 - accuracy: 0.9794 - val_loss: 0.0566 - val_accuracy: 0.9826\n",
      "Epoch 5/10\n",
      "54/54 [==============================] - 14s 258ms/step - loss: 0.0480 - accuracy: 0.9855 - val_loss: 0.0609 - val_accuracy: 0.9768\n",
      "Epoch 6/10\n",
      "54/54 [==============================] - 14s 258ms/step - loss: 0.0431 - accuracy: 0.9852 - val_loss: 0.0597 - val_accuracy: 0.9768\n",
      "Epoch 7/10\n",
      "54/54 [==============================] - 14s 256ms/step - loss: 0.0289 - accuracy: 0.9910 - val_loss: 0.0539 - val_accuracy: 0.9837\n",
      "Epoch 8/10\n",
      "54/54 [==============================] - 14s 259ms/step - loss: 0.0221 - accuracy: 0.9927 - val_loss: 0.0626 - val_accuracy: 0.9744\n",
      "Epoch 9/10\n",
      "54/54 [==============================] - 14s 257ms/step - loss: 0.0281 - accuracy: 0.9910 - val_loss: 0.0605 - val_accuracy: 0.9814\n",
      "Epoch 10/10\n",
      "54/54 [==============================] - 14s 257ms/step - loss: 0.0203 - accuracy: 0.9936 - val_loss: 0.0663 - val_accuracy: 0.9791\n"
     ]
    }
   ],
   "source": [
    "epochs = 10\n",
    "\n",
    "history = model.fit(\n",
    "    train_ds,\n",
    "    validation_data=val_ds,\n",
    "    epochs=epochs\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 七、模型评估"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Accuracy与Loss图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true,
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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rruH1118nJyfnuH0XX3xxr1+vL5Qcy7GaG6F2D9Tshpq9ofs9bfsaDkPGGC9hyyqArHzIGus9Tmr7D1rf1NKW8B6soyKU9Lbu21VdT8exViPSkygYlkJRfhaXFuWSP8wrM2i9z0g+fulHF0qSg87h4Og2tCXQR58LgsMRdN5xQec9xnF0u/U559rOFXSOrJQAw9MSI1fuUHcIDm7zEuAD27xb6+PDOzs/JikLcothdLGXLOcWw8jpEEiOTEwDhXMQbAG/Lk9D0dFBeRVVSo5F+kFpaSk33ngjDz30EAAVFRVMmDAhoq9x2mmncdlll/GLX/yCUaNGcccdd1BcXNxp2zvvvPPoAL8FCxZw3XXXsWDBAs4//3zGjh3L7bffzpEjR/jud7/Lv/3bv5GcnMzMmTNxzh23L1rMRbv7rQszZ850K1eujHUYQ1OwBWr3HZ/o1uwJ3Xa33dcf6vwcydmQPgoS06FmN+7wTswd27Nb68tgt42gPJjD9qZhVLqco7ddNhJfxhhyh6dT0C7hbb3Py04ZWvOeOge1e0OJ79Z2iXAoGa47cGz79NEwfBIMm+jdD5/o3TIL4NAnsOsD2L0Wdq2F3eugqdY7zvwwYqqXKOfOaEuc00dF/z33RrAFqsrbPpOD2479I6HpCPiTIDHV+zeXmNbulg6B1LbtY57r0K7jMYFU8PXPV/lmtso5F72r9wDQl+t2S9Ax464lzJ85lrv+duB8NS3Skw0bNjB9+vRYhzEgPPLIIyxevJhAIEAgEODb3/42JSUlsQ6rS5397Lq7ZqtrZrByDuoOhhLb9r287RPgUMJ7ZL/XbdpRYrqXRKWNgpHTYOL5XpKWPjJ07z3XkjqSVRVHWLJuF299tJ8d1Uc4Ut/AaA6SZ/vIswOM8+9nSuAQ4/wHmcI+zvJvIrm5w0jeRh/UjgF/PvgKgAJwBdBSAE2hHujU4YOndCAY9Moejkl+2yV4jTVtbc3n9bQPmwgn/10o+Q0lw8MmHNPrfpyM0TD2zGNf9+A2L2HetdZLmj9+E9b8d1ub9NHtephDSXPOlOj2xjY3eIl9+z8KWj+rgx9DsKmtrT/J+xyGT4JJF0DKMGis9ZLkxlrvs2ys9W5VO7zSk9bHjTV4xTZhCnRMoFOPfTzxfPhU54NS5MT5fcbJYzI1KE9kELvuuuu47rrrYh1Gv1FyPFg01cO212DTC/DRUq/XLdh8fDt/Ultimz0OCmYek+ge3U4f5SUDXWhsDvLmR/tY8vYuXly/kX01jST6fcyaNJwzJwwL9fimHu35HZHeSclBQ42XPFbtgKoKL+aqcqguh52rYeNz0NJw7DEJKaFSjQKv1zSroK18IzUHbzhdtDnvD42OvcAHPz42fn8iZI/3ErwJ5x7bE5w9DhISIxOOzwc5k71bUbt6ryMHYNeath7mXWvgrQfbktCEZBg1PZQstybNRZB8Al9tN9S06/Vt/0fCdu/n3j5pTczw/igYXQTTP3dsL3lGXt97dJ2Dprq2RLmzhLqxpl1C3X5/rdcL33AYDu/ynksb2ffPQ8JSnJ/F0yt3EAw6TcMnIgOOkuOB7PBu2LwEPiyDra94v/QDaTD5Qii64thEt3U7KbPPPa+1Dc28umkvS9btYumGPRxuaCYt0U/JSaO4tCiXC6eN7LTut0tJ6V6P9MhpnT/vnFfuUbUjlESXH3vb8pLX892bXsH+FkjzkrmR02Dq3HYlEJO8umtfDEtDUod7va6T2g3AaG6EfZvaJc1rYMP/wnu/bmuTPb6th7m1l7n94L8jB46tiW6fCNfs7hBDjvdZjDsbhl9z7OeTmtM/3wqYhXp/UwEltoPByXmZHGlsYdv+WiaP7OZbExGRGFByPJA45yUwH5Z5PcQVq7z9mQXe17xTL4MJsyM6AOtgbSMvbdjNknW7eX3zXhqagwxLDXDZjFwuLcrl3Ckj+q8W2CxUwjES8k/vvE1zIxyu9JLlukP9E0c40kZ4PZ3powZP2Qd4vdW5xd6tlXPeoL9da45Nmjc+x9E/RJKyIHus97l3rEPPzPc+i8I5x5aHDJ8IyVnRemcyiBW3G5Sn5FhEBholx7HWVA/bl3vJ8IdlXskBQP4ZcOEdMG2u15MXwYRsV1U9f1m/i7K1u3h72wFago4xWclcfdY4Li3K5cwJwwbOXLwJiV4t6rAJsY5k6DCDzDzvNvXStv2NtbB7Pexe45VlVJV7PcBHyx8mwbDxEEiJXewyJBSOTifR72NdZTV/96n8WIcjInIMJcexULM3VC7xAnz0ilfzGEiFSRdCyXeh8FJvEFYEbd1bw5J1uylbt4v3dxwCYPLING44fxJzi3OZkZ81qFdlkwhITPMG/rUf/CfSDwJ+HyeNydCgPJFeOPvss/n1r3/N1KlTefbZZ/n973/PE0880WX79ktAt7rtttuOTqvW3l133UVJSUmXM06sXr0agE996lNhna+37rrrLqZMmcKXvvSlEz5XJCg5jgbnYM96LxneVAblKwHnDUI69QteucTE8yNaLuGcY11lNUvW7WLJul1s2u3NnHBKQRbfuXQalxaNZsqojIi9nogMfGY2GnjGOXdeF88HgD8Aw4FHnXOP91csRXlZPL9mJ845/WEuEoZLL72Ul156ialTp/Lyyy8zd+7cXp+jr4lsV8lxJBLjgUjJcX9pbgiVS5R5t0OfePvzToOS73vlErmnRLRcoiXoWPXxQcrWeglxxaE6fAZnThjODz93MnOKcsnP1lfiIvHIzIYBvwK6WxLrW8BK59xdZvZ7M/tv59zh/oinKC+Txe98QvnBOsYOT+2PlxDpPy98zxurEUm5M+Cy/9vl05deein3338/N954I6+88gp33nknNTU1zJ8/n/r6esaPH8+iRYu6fYn2vckHDx7kyiuvpKWlBeccJSUlnZ7v+9//Pn/4wx8AePLJJ3n55Zc7PV9DQwMLFiygsrKSgoICFi1axD333ENTUxPLly+nqqqKsrIycnNzw/o4OjtfS0sLV155JdXV1YwYMYKnn36apqam4/YlJJxYeqvkOJJq98Hmv4TKJZZ600IlpMCkEjjvn71yicwxEX3JhuYW3vxoP39Zt4sX1+8+OuXa7MIR3HpxIRdPH0VOelJEX1NEBqUW4AvAn7ppUwJ8L7T9JjATeKV9AzO7HrgeYNy4cX0OpjjfG5S3rrJKybFIGGbNmsXq1aspLy8nNTWVnJwcNm/ezE033cQll1zC3Llz2b17N6NHh1eW+fDDD/PZz36W2267jdLSUgB27tx53Pnuvfdepk3zZp1asGBBl+d75JFHKC4uZvHixdx99908/rj3xdOWLVt49dVXWbhwIUuXLuWaa8KbR76z85155pn4fD5ee+01ysrKqKmp4aOPPjpuX3Z2dliv0RUlxyfCOdi7sa1cYsc7eOUSY2DGvLZyicTIXvhrG5pZ9qE35dorG9umXLswNOVaSW+nXBORIc85Vw30VMKQBlSEtquB437LOuceBh4Gb4W8vsZzUm4Gfp+xtqKaucWR7TQQ6Xfd9PD2F7/fzxlnnMF9993HnDlzAAgEAjz66KMsWrSIAwcOUFdXF/b5tm3bxvz58wGOLs18Iudbv349V1xxBeAl8i+88ALDhg3j2muvBWDUqFE0Njae0PluuOEGiouLmTNnDoWFhVx00UWcfvrpx+07UQNkSoJBaNUT8O+nwi/PhpfvhuZ6uOC7cP0y+KcN8Ll/90onIpwY/+8Hlcy652Vu+q/3WL5lH5+ZMYbHF8xk1Q9KeeCa0/ncqXlKjEWkr2qA1tqrdPrxd0RywE/hqHQNyhPphblz5/LQQw8drTd+7LHHmDdvHosXLyYtrbuKqeONHz+e9evXA201xV2dLyUlhSNHjgDemKbOFBUVsWLFCgBWrFhBUZG3PHxv4+rufO+//z7nnnsuf/nLXzh48CCvv/56p/tOlJLjvmg8Ai9815vT9W9+Cv+4Hm54DS78vldT3A+DSxqbg9z17Dpu/q+/MnV0Ok9dfzbv3H4x9807hYtOGt1/cxGLSDxZBcwObZ8KbO/PFzs5L5O1ldU9NxQRwKs7Tk9PZ9asWQCUlpZy7733Hu0traio6O7wY1x33XX8z//8DyUlJVRXV3d7vtLSUn7/+99z7rnndpl8fv3rX2fdunWcf/75bN68udsSjM7ceeedzJw5k5kzZ/LAAw90er4JEybw85//nHPOOYddu3Yxc+bMTvedKOvqL4Bomzlzplu5cmWswwjPh2Ww+Avw5T/A5BPvvu9J5aE6bvqv9/jrJ4f46rkT+f5nTiIwUOYhFhEAzGyVc+7Er8r9zMyWOedKzOwi4GTn3APtnhsPPA+8BJwDnO2ca+nqXCd63X58+TZ+9L/reef2ixmVGbnZekT6w4YNG5g+fXqsw5A+6Oxn1901WzXHfbGpDBLTYfy5/f5Sr2/ey61PraahqYUHrzmdvzlFtXki0nfOuZLQ/VJgaYfnPjazUrze4zu7S4wjoXVQ3trKKi5SciwiA4S6H3vLOW9GikklkNB/s0AEg45/f2kz1z7+DiPSE3n2W7OVGItIv3POVTrnnnbO9Xsx8Ml5mQCsq1BphQwOA+XbdglfX35m6jnurd1robrCm6u4nxyobeS2363mtU17ueK0fH58eTGpifpRicjQkp6UwKQRaazVoDwZBJKTk9m/fz85OTlauGaQcM6xf/9+kpN7982UMq7e2lTm3RfO6ZfTr95xiBt/s4p9NY382+XFXHPWOP0nFJEh6+S8TP76yaFYhyHSo4KCAsrLy9m7d2+sQ5FeSE5OpqCgoFfHhJUcm9ljwHTgeefcjzt5fiLwAJAJvOOc+2czSwC2hm4A33LORXg5mRjYtATyToeM8CbZDpdzjidXfMy//u96RmUk88w3P80pBdkRfQ0RkYGmOD+L//1gJwdrGxmWlhjrcES6FAgEmDhxYqzDkCjosebYzK4A/M65c4A8MyvspNl9wL86584DCsysBDgFWOycKwndBn9iXLsPylfC1Esje9qGZm59ajV3/mkds6eM4LlbZisxFpG4UJzXulKe6o5FZGAIZ0BeCfB0aHspbXNgtjcVeC+0vQfIAs4GLjez5Wb221BP8jHM7HozW2lmKwfF1xSbXwRcRJPjLXsO8/cPvsH/flDJt+dM5bF/OJPsVPWeiEh8KGodlKe6YxEZIMJJjntcThR4BvihmX0OmAu8DLwLXOCcmw0cAj7T8SDn3MPOuZnOuZkjR47sQ/hRtqkM0nMh99SInO7P71fytw+8wYHaRp782ixuvqgQn0/1xSISP4alJZKfnaLFQERkwAin5rjH5USdcz82s9nAd4BfOedqzOwD51xDqMlGoLNyjMGjuRE+WgpFfw++E5sBr7E5yD3Pb+CJN7dzxvhhPHjN6eRmaY5PEYlPRXmZrKtQz7GIDAzhZHnhLie6GhgH/DT0+EkzO9XM/MDlwPt9D3MA+OQtaKiGwhMrqag8VMf8/3yLJ97cztdmT+Sp689WYiwica04P4ut+2qpaWiOdSgiImH1HP8ReN3M8oDLgKvM7MfOuTs6tPsO8FPn3JHQ4x8B/wUY8Kxz7qUIxRwbm/8C/kRv8Y8+em3TXm596q80tTh++cXT+cwMLeohIlKc79Udb9hZzZkThsc4GhGJdz0mx8656tDsE6XAQufcLjrpBXbO/bDD47V4M1YMDZvKYMJ5kJTe60ODQcfPl27m31/ezNRRGfzHl05n0sjen0dEZChqnbFibUWVkmMRibmw5jl2zh2kbcaK+LNvC+zfAmfd0OtDtdqdiEj3RmUmMyI9ibVaRlpEBgBlaeHYvMS7n9q7VfH++slBbvrte1rtTkSkB8X5mZrOTUQGhBObdiFebFoCI0+CYRPCau6c41dvbmf+f76FmfHMNz/NF2eNV2IsItKF4rwsNu+pob6pJdahiEicU3Lck/pq+PiNsBf+qG1o5panVvPDZ9dxXuFIrXYnIhKG4vxMWoKOD3cdjnUoIhLnVFbRk4+WQrAZps7tsemWPYf5xm/eY+veGr5z6TS+ecFkLeohIhKGotZBeZVVnDo2O7bBiEhcU3Lck01LIDkbCs7qttmfVlfw/d+vISXg58mvzeLcKSOiE5+IyBBQMCyFrJSABuWJSMwpOe5OMOjNbzzlEvB3/lE1NLfwb89t4NdvfczM8cN4QKvdiYj0mpl5K+VpUJ6IxJiS4+5UvgdH9nVZUlFxqI4bf/se7+84xNdmT+R7l51EwK8ybhGRvijOz+KJN7bT1BLUtVREYkbJcXc2lYH5YMrFxz31xpZ93Pxf72m1OxGRCCnKy6SxJciWPTVMH5MZ63BEJE7pT/PubCqDsWdD6vErNv3LMx8wLDWRZ28+V4mxiEgEFOe3rZQnIhIrSo67UlUBu9Z0uvDH3sMNVByq45pZ47QMtIhIhEzMSSM10c+6Sg3KE5HYUXLclc1/8e47qTdeGxow0jr1kIiInDifzzh5TKZ6jkUkppQcd2XTEsge562M18G60IW7KF81cSIikVScn8X6ndUEgy7WoYhInFJy3JmmOti6zOs17mTJ5zUVVUwckUZmciD6sYmIDGFFeZkcaWxh2/7aWIciInFKyXFntr0OzXVQ2PmS0WsrqinKU6+xiEikHV0pT6UVIhIjSo47s3kJBFJhwuzjnjpQ20jFoTpm5KveWEQk0gpHp5Po92lQnojEjJLjjpzz6o0nXQiB41e6a+3NKFZyLCIScQG/j5PGZKjnWERiRslxR3vWQ9UOmNpFSUVopopizVQhItIvivKyWFdZjXMalCci0afkuKNNZd594fHzG4PXczxueCpZqRqMJyKDh5k9ZmZvmtkdXTw/zMyeN7PXzeyhaMfXXnF+JlV1TZQfrItlGCISp5Qcd7TpLzDmVMjsfNW7NRVVFGsKNxEZRMzsCsDvnDsHyDOzwk6afRn4jXPuPCDDzGZGNch2WgflratUaYWIRJ+S4/Zq90P5O50u/AFQdaSJHQfqVG8sIoNNCfB0aHspcPxoY9gPTDOzbGAs8ElnJzKz681spZmt3Lt3bz+ECiflZuD3GWsrNChPRKJPyXF7W14CF1S9sYgMNWlARWi7GhjdSZvlQCFwC7ARONjZiZxzDzvnZjrnZo4cObI/YiU54KdwVPrRa66ISDSFlRyHUas20cyeC9Wq/b9wjxtwNpVB2igYc1qnT7eOntY0biIyyNQAKaHtdDq/9t8DfMM59yO85PgrUYqtU62D8kREoq3H5DjMWrX7gH8N1aoVmFlJmMcNHC1NsOVlbyCer/OPZU1FFfnZKQxLS4xycCIiJ2QVbaUUpwLbO2mTCswwMz8wC4jpVBHF+ZnsPdzAnur6WIYhInEonJ7jEnquVZsKvBfa3gNkhXncwLHjbWio6rKkAryeYw3GE5FB6I/Al83sp8B8YJ2Z/bhDm3uBh4EqYDiwOKoRdnB0pTyVVohIlIWTHIdTq/YM8EMz+xwwF3g5nOOiMbAjbJvKwBeAyRd2+nR1fRPb9x9RSYWIDDrOuWq8DosVwIXOufedc3d0aPOOc67IOZfunCt1ztXEItZWJ+d5HREalCci0RZOctxjrZpz7sfAC8DXgV+FLqrhHNfvAzvCtmmJt1x0UkanT68LXaCLlByLyCDknDvonHvaObcr1rGEIz0pgUkj0jSdm4hEXTjJcTi1agCrgXHAT3t5XOwd2Ar7NnVbUtF6gVbPsYhIdBTlZ6nnWESiLpzk+I/0XKsG8B3gp865I10c99yJh9tPNv3Fu+8mOV5TUcWYrGRGpCdFKSgRkfhWlJdJxaE6DtY2xjoUEYkjPSbH4dSqhdr90Dn3ZDfHDdzvxjaVwYipMHxSl03WVFQdHSAiIiL9r/joSnnqPRaR6AlrnuO+1qoNihq3hsOwfXm3vcY1Dc1s21erkgoRkSgqah2Up7pjEYkirZD30SsQbILCrpPj9ZXVOIemcRMRiaJhaYnkZ6eo51hEokrJ8eYlkJQF487usolWxhMRiY3i/EzWVajnWESiJ76T42DQG4w35WLwB7pstraiilEZSYzKTI5icCIiUpSXxdZ9tRyub4p1KCISJ+I7Od75V6jdA1PndttsTUUVxeo1FhGJutZytg07D8c4EhGJF/GdHG9aAuaDKZd02eRIYzMf7a1RciwiEgNtM1aotEJEoiPOk+MyKDgT0nK6bLJhZzVBB8V5GownIhJtozKTGZmRpMVARCRq4jc5rt4JO9/vdgo34OgFeUaBeo5FRGKhOC9TPcciEjXxmxxvbl0Vr+d64xHpieRqMJ6ISEwU5WWxeU8N9U0tsQ5FROJA/CbHm5ZA1lgYdXK3zdaGVsYzsygFJiIyRG19FZ74LDTU9Oqw4vxMWoKOjbs0KE9E+l98JsdN9bD1FSicA90kvfVNLWzeU6P5jUVEImX767DttV4dUqRBeSISRfGZHH+8HJqO9FhSsWFnNS1Bp5XxREQiYdynITG9rawtTAXDUshKCWhQnohERXwmx5uWQEIKTDyv22ZrQ0uWaho3EZEISEiESSWw5SVwLuzDzIwiDcoTkSiJv+TYOW8Kt0klEEjptuna8iqGpQbIz+6+nYiIhKmwFKp2wN6NvTqsOD+LjTsP09QS7KfAREQ88Zcc790Ihz6BqXN6bNq6Mp4G44mIRMiUUu++l6UVRXmZNLYE2by7d4P5RER6K/6S401LvPvC7uc3bmhuYdPuwyqpEBGJpKx8GFUEm1/s1WGt12KVVohIf4vP5Dh3hneB7saHuw7THHRHly4VEZEIKSyFT96C+vAH2E3MSSMt0c+6Sg3KE5H+FV/J8ZEDsGNFj7NUQLuV8dRzLCISWYVzINgMW5eFfYjPZ0wfk8naCvUci0j/iq/keMvL4II9llSAV2+cmZzA2OEajCciElFjz4KkTNjS+9KK9aEpNkVE+kt8JcebyiB1BOSf3mPTtRqMJyLSP/wBmHyhV3fciyndivIyOdLYwvb9tf0YnIjEu/hJjluavbk1C+eAz99t08bmIB/uOqySChGR/lI4Bw7vhN1rwz6kdVCeSitEpD/FT3Jc/g7UH4KpPZdUbNp9mMaWIEVKjkVE+seUS7z7XsxaMWVUOokJPg3KE5F+FT/J8aYy8CXA5It6bNo6VZB6jkVE+klGLuSe0qvkOOD3cVJuhnqORaRfhZUcm9ljZvammd3RxfPDzOx5M3vdzB4K7Usws0/MbFnoNiOSgffapiUw/hxIzuyx6ZqKKjKSEhg/PDUKgYmIxKnCObDjbag7FPYhRXlZrK2owvWiVllEpDd6TI7N7ArA75w7B8gzs8JOmn0Z+I1z7jwgw8xmAqcAi51zJaHbmohG3hsHt3sr44UxhRvAmopqTs7LxOfTYDwRkX5TWAquBba+EvYhxfmZVNc3U36wrh8DE5F4Fk7PcQnwdGh7KTC7kzb7gWlmlg2MBT4BzgYuN7PlZvZbM0voeJCZXW9mK81s5d69e/sSf3g2hZYpDSM5bmoJsmFntUoqRGRI6ekbwHbtfmlmn4tKUPkzITm7V6UVrQszaaU8Eekv4STHaUBFaLsaGN1Jm+VAIXALsBE4CLwLXOCcmw0cAj7T8SDn3MPOuZnOuZkjR47sffTh2lQGOVMgZ3KPTbfsqaGxOahlo0VkyAjzG0DM7Dwg1zn356gE5k+AKRd7MwkFg2EdMi03A7/Pji7UJCISaeEkxzVA60oY6V0ccw/wDefcj/CS468AHzjndoae34iXPEdfQw1sfz2shT+gbYogJcciMoSU0MM3gGYWAB4BtpvZ33V1ooh/4zelFGp2w64PwmqeHPBTOCqdteo5FpF+Ek5yvIq2C+mpwPZO2qQCM8zMD8wCHPCkmZ0a2nc58P6Jh9sH216FlsawpnADLzlOS/QzaURaPwcmIhI14XwDeC2wHlgInGVm3+rsRBH/xq8PU7oV5WVpOjcR6TfhJMd/BL5sZj8F5gPrzOzHHdrcCzwMVAHDgcXAj4AngdXAW865lyIUc+9sKvOWKR336bCar6mo0mA8ERlqwvkG8DTgYefcLuA3wIVRiSx9JOSd3qulpIvzM9l7uIE91fX9GJiIxKsek2PnXDXeV3IrgAudc+875+7o0OYd51yRcy7dOVfqnKtxzq11zp3inJvhnPs//RN+D4JBbzDe5IsgIbHH5i1Bx/qd1SqpEJGhJpxvALcAk0LbM4GP+z+skMJSKH8XjhwIq/nRlfJUWiEi/SCseY6dcwedc0+HehQGj13vQ82usEsqPtpbQ31TUDNViMhQ80d6/gbwMeBCM3sNuBG4P2rRFc4BF4SPlobVfPqYTMzQoDwR6RfHTa82pGxaApg34CMMGownIkORc67azEqAUmBhqKPj/Q5tDgNXRj86IO80SM3x6o5nzOuxeXpSAhNz0rRSnoj0i6GfHBfM9GrawrCmoorkgI/JI9P7OTARkehyzh2kbcaKgcXnh8kXe3XHwSD4ev5Ssyg/i/c+PhiF4EQk3oRVVjEoHd4Nle+FXVIBXs/xyWMy8WswnohIdBXOgSP7ofKvYTUvzsuk4lAdB2sb+zkwEYk3Qzc53hxaFS/M+Y2DQce6Sq2MJyISE1MuBizsWSuKjq6Up7pjEYmsoZscbyqDjDzInRFW8637ajnS2KJ6YxGRWEgd7pXBtXZs9KAoLxPQjBUiEnlDMzluboCty7ySCguvRGJdpQbjiYjEVOEcqHgPavf12HRYWiL52SkalCciETc0k+OP34DGGpg6N+xD1pRXkZTgo3CUBuOJiMREYSngYMvLYTUvzs9kvcoqRCTChmZyvGkJJCTDxPPDPmRNRRUnjckkwT80PxIRkQEv91RIGxl2aUVxXhZb99VyuL6pnwMTkXgy9DJB57x644nnQ2JqWIcEg471ldXMyM/s5+BERKRLPp83L/1HL0OwpcfmRaFr9oadh/s7MhGJI0MvOd63GQ5u79UUbh8fOMLhhmbNVCEiEmuFpVB3ECpW9di0ODRjheqORSSShl5yvKnMuw9zCjfwSiqgbWogERGJkckXgvnCKq0YlZnMyIwkTecmIhE1BJPjJTC6GLLHhn3IuooqEv0+po7O6MfARESkRynDYOysXtQdZx6dbUhEJBKGVnJcdxA+ecubDqgX1lRUMS03g8SEofVxiIgMSoWlsPN9b6XTHhTnZ7F5Tw31TT3XKIuIhGNoZYNbXgbX0qsp3JxzrK2o0vzGIiIDxZRS737LSz02LcrLpCXo2LhLg/JEJDKGVnK8+S+QElplKUw7DtRRXa/BeCIiA0buDEjPDau0okiD8kQkwoZOchxs8S6khXPA5w/7sNbBeMWaxk1EZGAw80orPnoFWpq7bVowLIWslIAG5YlIxAyd5Lj8Xa/meGrv6o3XVlaR4DOm5WownojIgFFYCg1VUP5Ot83MjOJ8DcoTkcgZOsnxpjIwP0y+uFeHra2oYuroDJISwu9tFhGRfjapBHwJYZdWbNx5mKaWYP/HJSJD3hBKjv8C48+BlOywD2kdjKd6YxGRASY5C8aeDZvDG5TX2BJk8+6aKAQmIkPd0EiOD30Ce9b1alU8gIpDdRw80kRxgZJjEZEBp7AUdq+B6spum7XONrRWpRUiEgFDIznetMS778WqeNA2urk4T4PxREQGnNY56ze/2G2ziTlppCX6Wa9BeSISAUMnOR42EUYU9uqwtRXV+H3G9DFKjkVEBpxR0yEzH7Z0nxz7fMbJeZmazk1EIiKs5NjMHjOzN83sji6eH2Zmz5vZ62b2ULjHRURjLWx7zVv4w6xXh66pqKJwVDrJAQ3GExEZcI5O6bYMmhu7bVqUl8X6ndW0BF10YhORIavH5NjMrgD8zrlzgDwz66x79svAb5xz5wEZZjYzzONO3LbXoKWh1/XGWhlPRGQQKJwDjYdhx4pumxXlZXKksYVt+2qjFJiIDFXh9ByXAE+HtpcCsztpsx+YZmbZwFjgk3COM7PrzWylma3cu3dvrwI/alMZJKbD+HN7ddiu6nr21zZqpgoRkYFs4vngC/RYd9za0aH5jkXkRIWTHKcBFaHtamB0J22WA4XALcBG4GA4xznnHnbOzXTOzRw5cmQvQwec8+qNJ18ICYm9OnRNuVbGExEZ8JIyvGk6e0iOp4xKJzHBp5XyROSEhZMc1wApoe30Lo65B/iGc+5HeMnxV8I87sTs+gAO7/TqjXtpbWU1PkOD8UREBrrCObB3Axza0WWTgN/H9NwMDcoTkRMWTsK6iraSiFOB7Z20SQVmmJkfmAW4MI87MZtCKycV9m7JaPCmcZs8Mp3UxIQIByUiIhFVWOrd9zBrxcl5WaytqMI5DcoTkb4LJzn+I/BlM/spMB9YZ2Y/7tDmXuBhoAoYDizu5LjnIhRzm+RMKLoc0kf1+lCtjCciMkiMmArZ48KoO86kur6Z8oN1UQpMRIaiHrtNnXPVZlYClAILnXO7gPc7tHkHKOp4bIfjIv9d16wbvFsv7amuZ8/hBs1UISIyGJh53xCuXgzNDZCQ1Gmz4ry2QXljh6dGM0IRGULCqgN2zh10zj0dSozD1tfj+tua1pXxlByLSJwId955MxttZn+NVlxhm1IKTbXw8ZtdNpmWm4HfZ6yt0KA8Eem7obFCXi+trajGDE7WstEiEgd6Oe/8/bQNph44Jp4H/qRuSyuSA34KR6WzVtO5icgJiMvkeE1FFRNHpJGepMF4IhIXSuh5vnrM7CKgFujy276IzE/fF4lpMGF2j4PyivKy1HMsIickLpPjdZUajCcicaXHeefNLBG4E/hedyc64fnpT0RhKezbBAe2ddmkOD+TfTUN7Kmuj2JgIjKUxF1yvK+mgZ1V9UqORSSehDPv/PeAB51zh6IVVK+1Ttu55aUum7SOJVFphYj0Vdwlx62D8YrylByLSNwIZ975S4CbzGwZ8CkzezQ6ofVCzmQYPqnbuuPpYzIxQ6UVItJncVd0u641Oday0SISP/4IvG5mecBlwFVm9mPn3NGZK5xz57dum9ky59zXox9mGKaUwnu/hqY6CBw/bjA9KYGJOWlaKU9E+iwue44n5KSSmRyIdSgiIlHhnKvGG5S3ArjQOfd++8S4k/YlUQqt9wrnQHMdbH+jyyZF+Vmsq1TPsYj0Tdwlx2srqjW/sYjEnYE673yvTTgXElK6nbWiOC+TikN1HKxtjGJgIjJUxFVyfLC2kYpDdRqMJyIyWAVSvDmPN/+lyyatHSDqPRaRvoir5Fgr44mIDAGFc+DAVtj/UadPF4UWeNKMFSLSF3GVHLdeKIs1U4WIyOA15RLvvotZK7JTE8nPTtGgPBHpk/hKjiuqGDs8haxUDcYTERm0hk+EnMIeSisyVVYhIn0SZ8lxteqNRUSGgsI5sH05NB7p9OnivCy27avlcH1TlAMTkcEubpLjqiNNfHLgiOqNRUSGgsJSaGmA7a93+nTrtX7DzsPRjEpEhoC4SY5VbywiMoSMPwcCaV2WVhwdlKe6YxHppfhJjjVThYjI0JGQBJMu8JJj5457elRmMiMzkjRjhYj0Wtwkx2sqqsjPTmF4WmKsQxERkUgoLIVDn8C+zZ0+XZyXyXoNyhORXoqb5HhdZTXF+ZmxDkNERCJlSql330VpRXF+Fpv31FDf1BLFoERksIuL5Li6volt+2o1U4WIyFCSPRZGTu+m7jiLlqBj4y4NyhOR8MVFcryuwvtarUjJsYjI0FJYCh+/CQ01xz2lQXki0hfxkRxrpgoRkaGpsBSCTbDt1eOeKhiWQlZK4OjvABGRcISVHJvZY2b2ppnd0cXz3zSzZaHbajP7TzNLMLNP2u2fEdnQw7emoorc0MhlEREZQsaeDYkZnZZWmJlWyhORXusxOTazKwC/c+4cIM/MCju2cc79h3OuxDlXArwOPAycAixu3e+cWxPh2MO2tqJKU7iJiAxFCYkwuQQ2v9TplG7FeVls3HmYppZg9GMTkUEpnJ7jEuDp0PZSYHZXDc0sHxjtnFsFnA1cbmbLzey3ZpbQSfvrzWylma3cu3dv76MPQ01DM1s1GE9EZOiaUgrV5bBnw3FPnZyXSWNLkM27j69JFhHpTDjJcRpQEdquBkZ30/Ym4D9C2+8CFzjnZgOHgM90bOyce9g5N9M5N3PkyJFhB90b6yurcQ5N4yYiMlQVdj2lW+u3hloMRETCFU5yXAOkhLbTuzrGzHzAhc65V0K7PnDO7QxtbwSOK8eIhtZRyuo5FhEZojLzYPQM2PLScU9NzEkjLdGvxUBEJGzhJMeraCulOBXY3kW784C32z1+0sxONTM/cDnwfl+DPBFrK6oYmZHEqMzkWLy8iIhEQ+El8MlbUH9sD7HPZ5ycl6np3EQkbOEkx38EvmxmPwXmA+vM7MedtLsUeK3d4x8BTwKrgbecc8f/SR8Fayur1GssIjLUFc6BYDNsXXbcU0V5WazfWU1L8PgBeyIiHR03SK4j51y1mZUApcBC59wuOukFds7d3uHxWrwZK2LmSGMzW/bUMLd4TCzDEBGR/lZwFiRlweYX4eS/O+aporxMjjS2sG1fLVNGpccoQBEZLMKa59g5d9A593QoMR40NuysJuigOE+D8UREhjR/Aky+0EuOO0zp1jooT4uBiEg4hvQKeWtDy0bPKFBZhYjIkFc4B2p2wa5jp9WfMiqdxASfFgMRkbAM6eR4TUUVOWmJ5GownojI0DflEu9+y4vH7A74fUzPzeCD8kPRj0lEBp0hnRy3roxnZrEORURE+lvGaBhzqlda0cHZk3NYsfUAP/zTWhqaW2IQnIgMFkM2Oa5vamHznhrNVCEiEk8K58COd6Du4DG7vz1nGl+bPZFfvfUx8x96i/KDR2IUoIgMdEM2Od4QmrZHK+OJiMSRKaXgWuCjV47ZHfD7+MFnT+ahL53O1r21/M3Pl7N04+4YBSkiA9mQTY7XhgZeFKvnWEQkfhTMhJRhnZZWAMwtHsOfvzWb/OwUvvrEShaWbaS5JRjlIEVkIBu6yXF5FdmpAfKzU3puLCIyxJnZY2b2ppnd0cXzWWb2gpm9aGZ/MLPEaMcYET4/TL7YW0o62HnSO2FEGr+/8RyuPmssv1z2EV989G32VNdHOVARGaiGbnIcWhlPg/FEJN6Z2RWA3zl3DpBnZoWdNPsi8FPnXCmwC5gbzRgjqrAUavfAruPWqzoqOeDn3itO4f9deSrvlx/iMz9fzlsf7Y9ikCIyUA3J5LihuYVNuw+rpEJExFMCPB3aXgrM7tjAOfdL51xrLcJIYE90QusHky8GrMvSivY+f0YBf7ppNpkpCXzx0RU8+MoWglpmWiSuDcnk+MNdh2lqcRTnKTkWEQHSgIrQdjUwuquGZvZpYJhzbkUXz19vZivNbOXevXsjH2kkpI+E/NPDSo4BpuVm8OzNs/mbU/L4yZIP+dqv3uVgbWM/BykiA9WQTI6ProynnmMREYAaoHUARjpdXPvNbDjwC+CrXZ3IOfewc26mc27myJEjIx5oxEwphfJ3oTa8Uon0pAR+ftWn+Ne/K+KNLfv57C+Ws3rHof6NUUQGpCGZHK+pqCIzOYGxwzUYT0QEWEVbKcWpwPaODUID8J4Gvu+c+zh6ofWTwjmAg4+Whn2ImfHlT0/gmW9+GjO48qE3eeKNbTinMguReDIkk+N1lVoZT0SknT8CXzaznwLzgXVm9uMObb4GnAH8HzNbZmZfiHKMkZV3GqSOOG4p6XCcUpDNc986j/MLR3LXn9dz83/9lcP1Tf0QpIgMREMuOW5sDrJx52GVVIiIhDjnqvEG5a0ALnTOve+cu6NDm/9wzg1zzpWEbr+LRawR4/PBlNYp3Xq/XHRWaoBHrp3Jd+eeRNm6XfztA2+wYWd1PwQqIgPNkEuON+0+TGNLkCIlxyIiRznnDjrnnnbO7Yp1LFFTOAeO7IfKv/bpcJ/P+GbJZP7r67OobWjm7x98g6dX7ohwkCIy0Ay55HhdZRWgwXgiInFv8kVgvrBnrejKrEk5PHfLeZwxfhj/8swHfOe/36eusfe90SIyOAy55HhNRRUZSQmMH54a61BERCSWUodD/kzY/JcTPtXIjCSe/NosvnXRFP57VTmX//INtu2rjUCQIjLQDLnkeG1FNSfnZeLzaTCeiEjcK5wDle9BzYnPyez3Gf88ZxpPfOVMdlfX87lfLOf5NTsjEKSIDCQJsQ4gkppbgmzYWc2Xzx4f61BkCGpqaqK8vJz6+vpYhyIxlJycTEFBAYFAINahSDgKS+GVH8NHL8OpV0XklCXTRvHcLedx03+9x42/fY8F50zg9s9MJzFhyPU3icSlIZUcb95TQ0NzUMtGS78oLy8nIyODCRMmaJrAOOWcY//+/ZSXlzNx4sRYhyPhyD0F0kZ5pRURSo4B8rJT+N31n+beFzaw6I3trN5xiAe/eDr52ZpfX2SwG1J/5q6t8AbjKTmW/lBfX09OTo4S4zhmZuTk5Ojbg8HE5/N6j7e8DC3NET11YoKPH36uiF9+8XS27Knhb37+Oq98uCeiryEi0TfkkuO0RD+TRqTFOhQZopQYi/4NDEKFpVB/CCpW9cvpPzNjDH/+1mxyM5P5yqJ3+cmSjTS3BPvltUSk/4WVHJvZY2b2ppnd0cXz3wytqLTMzFab2X+Gc1ykra3UYDwREelg0oVg/ojMWtGViSPS+ONN5/KFmWN58JWP+NJjb7PnsL5hEBmMekyOzewKwO+cOwfIM7PCjm1CKyuVOOdKgNeBh8M5LpJago71ldUqqZAh64EHHqCkpISUlBRKSkr4wx/+0Otz3HbbbRFtF44DBw6Qnp6uUgSJnZRsGDsLVj0BS/4PbHwejhyI+MskB/zcN+8U7r/yVFbvOMTf/Hw5K7buj/jriEj/CmdAXgnwdGh7KTAb2NxZQzPLB0Y751aZ2T/0dJyZXQ9cDzBu3Ljexn6Mj/bWUNfUQnGekmPpf3f/eR3rKyO7lOzJeZn88HNFXT5/8803c/PNNzNlyhSWLVvWp9f42c9+FtF24XjxxRdpaGjgtddeY86cORE7r0ivXHIXvHw3vPMIvPUAYDC6CMaf493GnQMZoyPyUvPOKKA4P5Mbf/Me1zyygm9fOo1vnD9Z32qKDBLhJMdpQEVouxqY0k3bm4D/CPc459zDwMMAM2fOdGHE0qXWwXgzCpQcS3wpKSnhzDPP5IMPPmDJkiXU1NQwf/586uvrGT9+PIsWLTqmbWtifdddd9HU1MTy5cupqqqirKyM3NzcsNplZWVxxRVXsH//fiZPnsyMGTO4/fbbO42vrKyMm266ibKyMubMmUN9fT0LFiygvLyc7Oxsnn76aXw+33H7Fi5cSElJCSUlJTzxxBMALFiwIKz329lr3HfffZx00klcffXV3H333UybNo2rrorc7AUywI2bBV95Hprqvdrjj9+Ej9+Av/4W3nnYa5MzBcafG7qdA9lj+/xyJ+Vm8qebz+V7v1/DwrIPeeqdHXx6Ug5nTx7OrIk55GlWC5EBK5zkuAZo/V+cThelGGbmAy50zt3em+MiZU1FFckBH5NHpvfny4gAdNvDG20rVqzglltu4Sc/+QkAO3fu5KabbuKSSy5h7ty57N69m9GjO+8R27JlC6+++ioLFy5k6dKlXHPNNWG1mz59OgUFBTz77LOce+65LF68uMv43nrrLZYvX87FF18MwMMPP8ypp57KU089xaJFi1i7di0rVqw4bt+JvN/f/e53x53v2muv5R//8R+5+uqrKSsr47vf/W5Yn68MMYFkmHCud+M70NIEO9/3EuWP34R1f4T3fuW1zRrnJckTQgnz8EnQiwGZGckBHrj6NC6aNooX1u7k+bU7+d3KHQCMHZ7CrIk5nD0ph1kThzNWq7qKDBjhJMer8EoiVgCnAh920e484O0+HBcR6yqqOXlMJn59bSVxpri4mCuuuOLo40AgwKOPPsqiRYs4cOAAdXV1XR577bXXAjBq1CgaGxvDbpefn8+qVas4//zzufXWW7s87oMPPmDfvn3MmzeP7du3s2PHDjZu3MjnP/95wOsJBnjiiSeO2/f8888fPU9dXR0pKSlhv9/OXsPMOHz4MMuWLaO4uJjk5OQu45Y44g9AwUzvdu6tEGyB3evaepa3vAQfPOW1TR8dKsMIJcsjT/KmiuuGmfH5Mwr4/BkFtAQdG3ZW8/a2A7y9dT8vbdjNM6vKAcjPTmHWxOFesjxpOOOGp2pmFJEYCSc5/iPwupnlAZcBV5nZj51zHWeguBR4rZvjzj7xcDsXDDrWVVYx74yC/noJkQErPf3Yb0see+wx5s2bx/z587ngggu6PTYtLbxpDzu2Kysr4wc/+AGXX355t8ctWbKE22+/nX/6p3/iBz/4AUuWLOGkk07i3Xff5eKLL+aee+5h1KhRne5LTEzk8OHDR1+v9bXCeb+dne+6667jqquu4qtf/Sq/+tWvwnrfEod8fhhzinc7+xvgHOzbDB8v9xLm7W/AutBg2JRhXq1ya+/y6Bng7/rXqt9nFOdnUZyfxddmTyQYdHy4+zBvb93P29sOsGzTXn7/V68aMTczmVmThod6l4czcUSakmWRKOkxOXbOVZtZCVAKLHTO7QLe76Td7T0cVxWBeDu1dV8ttY0tFGmmChFKS0u58cYbeeihhwCoqKhgwoQJEX2N0047jcsuu4xf/OIXjBo1ijvuuIPi4uLj2i1ZsoT7778fgIsuuogHH3yQ3/zmN1x77bWUlJSQk5PDb3/7W4Dj9m3ZsoUbb7yR5557jpycnF693+uvv77T15g3bx4LFy5k9uzZEf08ZAgzg5FTvdvMr3rJ8qGP2xLlj9+AD5/z2iZmeLXN48+B8bMh7zRISOzy1D6fMX1MJtPHZLLg3Ik459iyp4YVW/ezYtsB3tiynz+trgRgZEYSsyYOZ9akHD49aTiTR6YrWRbpJ+bcCY2Di5iZM2e6lStX9unYP62u4NanVvPCrecxfUxmhCMT8WzYsIHp06fHOowB4ZFHHmHx4sUEAgECgQDf/va3KSkpiXVY3Vq3bh1f+cpXuOGGG/ja1752Qufq7N+Cma1yzs08oRMPMidy3R5SqivbyjA+fhP2bvT2JyRDwZleCUbuDG+AX/Y4SM4Oq3bZOcfWfbW8vfUAK7bu5+1t+9ld3QDAiPREzpro9SzPmjScqaMyNBuGSC90d80Op6xiwFtTXkVSgo/CURqMJxIN1113Hdddd12sw+iVoqIi3nnnnViHIUNRZh7MmOfdAGr3wSdvhXqXl8Or9wHtOqISM7wkOXtcW8KcPQ6yxkL2eEgdDmaYGZNHpjN5ZDrXzBqHc46P9x/h7W37jybMz6/ZBcCw1MAxyfL0XC2IJdJXQyI5XltZxUljMknwD6nVsEVEZDBKGwHTP+fdAOqr4cBHcOgTOLQjdP8JVO3wepsbOsyZHkjtkDB7SbRlj2dC9jgmzBzLF870kuXyg3WhXuUDvL1tP0vW7QYgMzmBsyZ6M2FMHJHGmOxkxmSlMCw1oHIMGfhamqCpDprre74PpELR30f05Qd9chwMOtZVVPN3p+XFOhQREZHjJWd69cd5p3X+fN2hYxPm1u1Dn8COd6D+0LHtE5IhayyWPY6x2WMZmz2OK6eNg1nj2OmbyFu7/by97RBvb/NmxGgvKcHHmKxkcrO8ZHlMVnLocdv28LTEtgTaOS9RaWlsuzU3hPY1HLvd0gjNjaHtJu9mBuZrdzOg4z5fh3bhtOmqXeixL8H7nAIpbfc+f2R/rv0p2AINh71bY03b9tHHoX2NrftroLHWO9YXev/m996zLyH0mfhD+xJC2752261t/R2O83fRNsF7ndbnsfAS2S7v66G5ru0+2Bz+Z5VTqOS4o48PHOFwQ7NWxhMRkcEpJdu7jTml8+frq9slzTu8AYGtj3euhiNtS1SPAa7wJ3JFVgGMHkf9xDHUNgapr6+jsaGexoZ6WprqadnXQHCnl8Qm4t0CNNNkzRykmSRrJkAziTRF4QOIEl+gXbKcDAkpvbzvkGx3dd/S1C6JrW6XyNZ0kvB2kuQ2HPYSxHD4kyApA5LSITFUWhpsAdfiJZjBFnBB7z7YHNrf0q5Nu7b98pkndP85pgwL/3Nt/bkFUo/dlxjerEu9MeiT49aV8Yo1U4WIiAxFyZmQXOQtd92Zxtq2co2qT44p30jeu4xkzJvPOSEJkpIgNQAJqeDPwvmTaHR+6oIJ1Lb4qW72cbjZR3WTUdXo42CD42CDURdMoIkEGgnQhJ8WSyQtNZX0tFQy0tPITk8jOyOdYZlp5GRmMiIrnez0FLyyZ+f1QLtgu1vHx8FO2nXVpuNznbQLNnfonWw4tmey433jEe+PjKb643s2XUtkf54JyV5Cm5juJbVJmZCe6/WAJqWHnss4NulNymz3XOg+KcP7uUZKMNghqe4kkT6aYHdoi/PeV2vSGkjxkuFupjYcyAZn1O2sragi0e9j6uiMWIci0q/OPvtsfv3rXzN16lSeffZZfv/73x9dVrkz7ZeAbnXbbbfxs5/97Li2d91119GlmjuzevVqAD71qU+Fdb6+OHDgAOPGjWPfvn1aoEOkNxLTYNRJ3q2XDEgK3bK7aBMMOvbXNrKzqo6dVfXsqqqnsqqOXVX1fFhVz879dezaWk9TiwMagL3AXnwGyQE/iQk+khJ8JCW03+7wOOAn0e8nKdBVW29f6/OJrY87bCcFfCT6faQlJZAciFAZRW/qX5vqwJ/YIcntkNRGMqGNJJ8P8A3c+KJo8CfHlVVMy80gMUGD8SSKXvge7FoT2XPmzoDL/m+XT1966aW89NJLTJ06lZdffpm5c+f2+iX6msh2lRxHKjEGePHFF2loaOC1115jzpw5ETuviJwYn88YmZHEyIwkTulira1g0HHgSCM7D9Wzs6qOXdX17KluoKG5hYbmII3NQRqagzQ0t7RtNwU5dKTxuOcbQtuNzcETijs9KYGc9ERy0hLJSU9iRHoiOWlJ3r70JEaE9uekJzIsNbHrFXb9gVDCqKli48WgTo6dc6ytqOYzM8bEOhSRfnfppZdy//33c+ONN/LKK69w5513UlNTw/z586mvr2f8+PEsWrSo23O0700+ePAgV155JS0tLTjnKCkp6fR83//+9/nDH7wVwZ588klefvnlTs/X0NDAggULqKyspKCggEWLFnHPPffQ1NTE8uXLqaqqoqysjNzc3E5jKysr46abbqKsrIw5c+ZQX1/PggULKC8vJzs7m6effhqfz3fcvoULFx7t9W7tSV+wYAElJSWceeaZfPDBByxZsqTT99bZa9x3332cdNJJXH311dx9991MmzaNq6666sR+eCJDnM9njEhPYkR6EjMKIlPmGAw6GluCNLZ4ifRxiXZT14n34fom9tc2sr+mkf21Dew4cIS/fnKIA7UNBDtZ3sEMhqcmhpJpL2EekZ50NLH2Hrc9l56UoFk/hrBBnRzvOFBHVV0Txfn6a06irJse3v4ya9YsVq9eTXl5OampqeTk5LB582ZuuukmLrnkEubOncvu3bsZPXp0WOd7+OGH+exnP8ttt91GaWkpADt37jzufPfeey/Tpk0DvKSzK4888gjFxcUsXryYu+++m8cffxyALVu28Oqrr7Jw4UKWLl3KNddc0+nxb731FsuXL+fiiy8+Gt+pp57KU089xaJFi1i7di0rVqw4bl9XVqxYwS233MJPfvKTLt/b7373u+POd+211/KP//iPXH311ZSVlfHd7343rM9TRCLL5zOSfX6vPCJClVbBoONQXRP7axrYF0qcD9Q2ets1DUeT6fWV1eyraaC6vvOBaokJvmN6nnPSvJ7p4WmJZCQHSE304k5N9JOS6Ccl0Hbf+lxSgm/QJNjOuaO9/fXNLdQ1tlDf3EJ9U5D6phaaWxwpiX7SkvykJSaQmugnLSlhUL3H9gZ1cry20huMN0OD8SQO+P1+zjjjDO67776jZQeBQIBHH32URYsWceDAAerqwhzhDGzbto358+cDMHPmzBM+3/r167niiisAL5F/4YUXGDZsGNdeey0Ao0aNorGxsdNjP/jgA/bt28e8efPYvn07O3bsYOPGjXz+858H2pLyJ5544rh9zz///NHz1NXVkZKSAkBxcfHReLp6b529hplx+PBhli1bRnFxseqfRYYQn88YnuYlsYVh9CM0NLdwsLaJfTUNoZ5oL4HeVxtKpEP7N++uYW9NQ69KQXxGW9LcmkAfk0R7ddMpib627daEO9Ah6U70k5zgp6nFS1brm4PUNbbQ0NziPQ4lsfVNQeqavH0N7ZLb1n2tjxuaj93f0BykLwsq+wwvWW5NmpO895WW6Cc1KXSfmEDacfvbHRNKtFufSw34+32Bm0GdHK+pqCLBZ0zL1WA8iQ9z587lG9/4Bq+++ioAjz32GPPmzWP+/PlccMEFvTrX+PHjWb9+PRdddBGrV6/m0ksv7fJ8KSkp7N/vTRflnOu0J6CoqIgVK1ZwySWXsGLFCoqKiqisrCQtredpdpYsWcLtt9/OP/3TP/GDH/yAJUuWcNJJJ/Huu+9y8cUXc8899zBq1KhO9yUmJnL48GHAK824/PLLAUhPP3bFzM7eW2fnu+6667jqqqv46le/yq9+9atefaYiMrQkJfjJzfKTm9XzH8nOOWobW6ipb6auqYUjjc1egtkY5Eijt6+u0Us4j243tnCkqYX60P4joft9NY3UNdW1tQ/dR0Ki3xu4mBzwkxzwkZzgP7qdkZzAyIwk73FCuzYBf7vbscckB/wk+Oxo/LUNzd59YzNHGjrch57fV9NI7YEjx+xv6azepQspAf/RhHrKqHQeX3BmRD6bVoM6OR43PJV5ZxSQlDCIJvYWOQGXXnop6enpzJo1C4DS0lJuvPFGHnroIQAqKiqYMGFCWOe67rrruPLKK3nmmWdoamrq9nylpaXMnz+f3/72t9x7772cf/75x53v61//OgsWLOD8889n7Nix3H777dxzzz1hxbJkyRLuv/9+AC666CIefPBBfvOb33DttddSUlJCTk4Ov/3tbwGO27dlyxZuvPFGnnvuOXJycrp8jc7e2/XXX9/pa8ybN4+FCxcye/bssOIXETEz0pMSSE/qn9QqGPRKG7pKvOubWgj4fccmsa3bCW3bXQ48jKHWso0jjd57OybJ7izZbrd/WGpixOMx15d+8n4wc+ZMt3LlyliHIdKlDRs2MH369FiHIf1s3bp1fOUrX+GGG27ga1/7WqdtOvu3YGarnHMzoxHjQKHrtogMVt1dswd1z7GISKQVFRXxzjvvxDqMiDOzx4DpwPPOuR/3tY2IyFCnyYFFemGgfNMisTMY/w2Y2RWA3zl3DpBnZoV9aSMiEg+UHIuEKTk5mf379w/K5EgiwznH/v37B+MMFiXA06HtpUBnxdThtMHMrjezlWa2cu/evREOU0Qk9lRWIRKmgoICysvLUUIQ35KTkyko6GKZsIErDagIbVcDU/rYBufcw8DD4NUcRzZMEZHYU3IsEqZAIMDEiRNjHYZIX9QAKaHtdDr/1jCcNiIiQ54ufiIiQ98q2sokTgW297GNiMiQp55jEZGh74/A62aWB1wGXGVmP3bO3dFNm7OjHqWIyACgnmMRkSHOOVeNN+BuBXChc+79DolxZ22qoh2niMhAMGAWATGzvcDHfTh0BLAvwuEMBvH4vuPxPUN8vu/B+J7HO+dGxjqIaOrjdXsw/mwjIR7fdzy+Z4jP9z0Y33OX1+wBkxz3lZmtjLdVqSA+33c8vmeIz/cdj+85XsTrzzYe33c8vmeIz/c91N6zyipEREREREKUHIuIiIiIhAyF5PjhWAcQI/H4vuPxPUN8vu94fM/xIl5/tvH4vuPxPUN8vu8h9Z4Hfc2xiIiIiEikDIWeYxERERGRiFByLCIiIiISMqiTYzN7zMzeNLM7em49+JlZlpm9YGYvmtkfzCwx1jFFk5mNNrO/xjqOaDKzX5rZ52IdR7SY2TAze97MXjezh2Idj0RWvF2zIb6v2/F4zYb4um4P1Wv2oE2OzewKwO+cOwfIM7PCWMcUBV8EfuqcKwV2AXNjHE+03Q+kxDqIaDGz84Bc59yfYx1LFH0Z+I1z7jwgw8yGzLyZ8S5Or9kQ39ftuLpmQ1xet4fkNXvQJsd4y5w+HdpeCsyOXSjR4Zz7pXPuxdDDkcCeWMYTTWZ2EVCL98tlyDOzAPAIsN3M/i7W8UTRfmCamWUDY4FPYhuORFAJcXbNhvi9bsfbNRvi9ro9JK/Zgzk5TgMqQtvVwOgYxhJVZvZpYJhzbkWsY4mG0NeQdwLfi3UsUXQtsB5YCJxlZt+KcTzRshwoBG4BNgIHYxuORFDcXrMhvq7bcXrNhvi8bg/Ja/ZgTo5raPu6Jp3B/V7CZmbDgV8AX411LFH0PeBB59yhWAcSRacBDzvndgG/AS6McTzRcg/wDefcj/AutF+JcTwSOXF5zYa4vG7H4zUb4vO6PSSv2YP54rSKtq/lTgW2xy6U6Aj9Nf408H3n3MexjieKLgFuMrNlwKfM7NEYxxMNW4BJoe2ZQLz8vFOBGWbmB2YBmoh96Ii7azbE7XU7Hq/ZEJ/X7SF5zR60i4CYWSbwOvAycBlwtnOuKrZR9S8z+ybeX2nvh3b9h3PudzEMKerMbJlzriTWcfQ3M8sAHsf76jkAzHPOVXR/1OBnZmcBi4DxwFvA5c65mthGJZEQj9ds0HU7Xq7ZEJ/X7aF6zR60yTF4U4gApcBroa8xRERkgNI1W0QGg0GdHIuIiIiIRNJgrjkWEREREYkoJcciIiIiIiFKjkVEREREQpQci4iIiIiEKDkWEREREQn5/wFBsycfSQ195gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 864x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "acc = history.history['accuracy']\n",
    "val_acc = history.history['val_accuracy']\n",
    "\n",
    "loss = history.history['loss']\n",
    "val_loss = history.history['val_loss']\n",
    "\n",
    "epochs_range = range(epochs)\n",
    "\n",
    "plt.figure(figsize=(12, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "\n",
    "plt.plot(epochs_range, acc, label='Training Accuracy')\n",
    "plt.plot(epochs_range, val_acc, label='Validation Accuracy')\n",
    "plt.legend(loc='lower right')\n",
    "plt.title('Training and Validation Accuracy')\n",
    "\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.plot(epochs_range, loss, label='Training Loss')\n",
    "plt.plot(epochs_range, val_loss, label='Validation Loss')\n",
    "plt.legend(loc='upper right')\n",
    "plt.title('Training and Validation Loss')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 2. 混淆矩阵"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Seaborn 是一个画图库，它基于 Matplotlib 核心库进行了更高阶的 API 封装，可以让你轻松地画出更漂亮的图形。Seaborn 的漂亮主要体现在配色更加舒服、以及图形元素的样式更加细腻。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "import seaborn as sns\n",
    "import pandas as pd\n",
    "\n",
    "# 定义一个绘制混淆矩阵图的函数\n",
    "def plot_cm(labels, predictions):\n",
    "    \n",
    "    # 生成混淆矩阵\n",
    "    conf_numpy = confusion_matrix(labels, predictions)\n",
    "    # 将矩阵转化为 DataFrame\n",
    "    conf_df = pd.DataFrame(conf_numpy, index=class_names ,columns=class_names)  \n",
    "    \n",
    "    plt.figure(figsize=(8,7))\n",
    "    \n",
    "    sns.heatmap(conf_df, annot=True, fmt=\"d\", cmap=\"BuPu\")\n",
    "    \n",
    "    plt.title('混淆矩阵',fontsize=15)\n",
    "    plt.ylabel('真实值',fontsize=14)\n",
    "    plt.xlabel('预测值',fontsize=14)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "val_pre   = []\n",
    "val_label = []\n",
    "\n",
    "for images, labels in val_ds:#这里可以取部分验证数据（.take(1)）生成混淆矩阵\n",
    "    for image, label in zip(images, labels):\n",
    "        # 需要给图片增加一个维度\n",
    "        img_array = tf.expand_dims(image, 0) \n",
    "        # 使用模型预测图片中的人物\n",
    "        prediction = model.predict(img_array)\n",
    "\n",
    "        val_pre.append(class_names[np.argmax(prediction)])\n",
    "        val_label.append(class_names[label])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 576x504 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_cm(val_label, val_pre)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 八、保存and加载模型"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "这是最简单的模型保存与加载方法哈"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 保存模型\n",
    "model.save('model/17_model.h5')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 加载模型\n",
    "new_model = tf.keras.models.load_model('model/17_model.h5')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 九、预测"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 8 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 采用加载的模型（new_model）来看预测结果\n",
    "\n",
    "plt.figure(figsize=(10, 5))  # 图形的宽为10高为5\n",
    "plt.suptitle(\"预测结果展示\")\n",
    "\n",
    "for images, labels in val_ds.take(1):\n",
    "    for i in range(8):\n",
    "        ax = plt.subplot(2, 4, i + 1)  \n",
    "        \n",
    "        # 显示图片\n",
    "        plt.imshow(images[i].numpy().astype(\"uint8\"))\n",
    "        \n",
    "        # 需要给图片增加一个维度\n",
    "        img_array = tf.expand_dims(images[i], 0) \n",
    "        \n",
    "        # 使用模型预测图片中的人物\n",
    "        predictions = new_model.predict(img_array)\n",
    "        plt.title(class_names[np.argmax(predictions)])\n",
    "\n",
    "        plt.axis(\"off\")"
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